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Murdrek/README.md

Hi there, I'm Marcelo Dominguez Herrera 👋

An analytical and results-driven professional transitioning from complex clinical operations into Data Science, Machine Learning, and Technical Project Management. I specialize in architecting data-driven solutions, translating intricate variables into actionable business insights, and managing reproducible pipelines under agile frameworks.

🛠️ Tech Stack & Competencies

  • Languages & Core: Python (Pandas, NumPy, Scikit-Learn), SQL, Statistics & Probability.
  • Methodologies: PACE Framework, Agile/Scrum, Exploratory Data Analysis (EDA), Predictive Modeling.
  • Domain Focus: Unsupervised/Supervised Learning, Data Architecture, Operational Optimization.

¡Hola! Soy Marcelo Dominguez Herrera 👋

Profesional analítico orientado a resultados en transición desde operaciones clínicas complejas hacia la Ciencia de Datos, Machine Learning y Gestión de Proyectos Técnicos. Me especializo en diseñar soluciones de datos, traducir variables complejas en insights de negocio accionables y gestionar pipelines reproducibles bajo marcos metodológicos ágiles.

🛠️ Tecnologías y Competencias

  • Lenguajes y Core: Python (Pandas, NumPy, Scikit-Learn), SQL, Estadística y Probabilidad.
  • Metodologías: Marco PACE, Agile/Scrum, Análisis Exploratorio de Datos (EDA), Modelado Predictivo.
  • Enfoque de Dominio: Aprendizaje Supervisado/No Supervisado, Arquitectura de Datos, Optimización Operativa.

Pinned Loading

  1. Claim-Classifier-Tiktok Claim-Classifier-Tiktok Public

    Predictive model to classify user-generated claims on TikTok. Built with reproducible workflows, bilingual documentation, and ethical stakeholder alignment.

    Jupyter Notebook

  2. Marketing-ROI-Regression Marketing-ROI-Regression Public

    Predictive OLS model to optimize marketing budgets and estimate TV advertising ROI. Features comprehensive statistical assumption testing and bilingual stakeholder insights.

    Jupyter Notebook

  3. NBA_rookie_longevity_prediction NBA_rookie_longevity_prediction Public

    Predicting NBA rookie career longevity (5+ years) using Gaussian Naive Bayes in Python. Translating machine learning classification metrics into sports business investments.

    Jupyter Notebook

  4. taxi-fare-estimation-automatidata taxi-fare-estimation-automatidata Public

    Documentation for the Taxi Fare Estimation project – Automatidata TLC. This repository includes bilingual executive summaries, simulated visuals, and reproducible resources aligned with the PACE mo…

    Jupyter Notebook

  5. Penguin-clustering-kmeans Penguin-clustering-kmeans Public

    An unsupervised learning project that segments penguin populations using K-means clustering, optimizing the number of clusters via Inertia (Elbow Method) and Silhouette Score analysis.

    Jupyter Notebook

  6. Airline-passenger-satisfaction-Prediction Airline-passenger-satisfaction-Prediction Public

    End-to-end Machine Learning pipeline utilizing a Decision Tree classifier and GridSearchCV to predict airline passenger satisfaction with 95% CRM precision.

    Jupyter Notebook